کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7333547 1476043 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reprint of: Results from using a new dyadic-dependence model to analyze sociocentric physician networks
ترجمه فارسی عنوان
بازنویسی: نتایج استفاده از مدل جدید وابستگی وابسته به وابستگی به اینترنت برای تجزیه و تحلیل شبکه های پزشکان اجتماعی
کلمات کلیدی
استقلال دایادیک، متغیرهای نامرئی، اشتراک بیمار، نفوذ پزشک شبکه اجتماعی ترجیحا،
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی سیاست های بهداشت و سلامت عمومی
چکیده انگلیسی
Professional physician networks can potentially influence clinical practices and quality of care. With the current focus on coordinated care, discerning influences of naturally occurring clusters and other forms of dependence among physicians' relationships based on their attributes and care patterns is an important area of research. In this paper, two directed physician networks: a physician influential conversation network (N = 33) and a physician network obtained from patient visit data (N = 135) are analyzed using a new model that accounts for effect modification of the within-dyad effect of reciprocity and inter-dyad effects involving three (or more) actors. The results from this model include more nuanced effects involving reciprocity and triadic dependence than under incumbent models and more flexible control for these effects in the extraction of other network phenomena, including the relationship between similarity of individuals' attributes (e.g., same-gender, same residency location) and tie-status. In both cases we find extensive evidence of clustering and triadic dependence that if not accounted for confounds the effect of reciprocity and attribute homophily. Findings from our analysis suggest alternative conclusions to those from incumbent models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Social Science & Medicine - Volume 125, January 2015, Pages 51-59
نویسندگان
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